Tech

Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills

By Md Tahmid Rahman Laskar, Gundeep Singh, Xue-Yong Fu, Karol C · arXiv cs.CL

cs.CL

arXiv:2610.14346v1 Announce Type: new Abstract: Enterprise customer-support agents increasingly rely on Large Language Models (LLMs) to execute bounded, tool-using workflows. We study this problem through the lens of Skill LLMs…

Published: October 14, 2026 (2026-10-14)
Outlet: arXiv cs.CL
Section: Tech
Length here: Headline and 30-word snippet. The full article is at the source.

More from arXiv cs.CL and around the same time

An open laptop and a stack of books on a desk

AdaptTok-Indic: Script-Aware Adaptive Tokenization for Indic LanguagesarXiv:2610.33017v1 Announce Type: new Abstract: Multilingual tokenizers trained on English-dominated corpora often over-segment Indic languages, resulting in longer token sequences and increased tokenization disparity across…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

Conceptizer: Next-Token Prediction Is Not All You NeedarXiv:2610.33027v1 Announce Type: new Abstract: Next-token prediction (NTP) rewards only the token that occurs next, penalizing every alternative. But natural language often offers many ways to express the same meaning. We…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

Entity-Aware Evaluation of OCR Systems for Historical Document TranscriptionarXiv:2610.33004v1 Announce Type: new Abstract: Optical Character Recognition (OCR) is essential for digitizing historical archives, yet standard evaluation metrics such as Character Error Rate (CER) do not necessarily reflect…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

From Writing Advice to Manuscript Governance: A Constrained-Transformation Framework for Academic RevisionarXiv:2610.33001v1 Announce Type: new Abstract: Academic revision presents a governance problem when legitimate writing objectives conflict. Writing-process and social-science research show that revision is recursive and that…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

Knowledge-Guided LLM for Intent-Driven Service Orchestration in Integrated Terrestrial and Non-Terrestrial 6G NetworksarXiv:2610.33007v1 Announce Type: new Abstract: Natural-language service intents in integrated terrestrial and non-terrestrial (TN/NTN) 6G networks can be incomplete, ambiguous, or inconsistent, making unconstrained LLM…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

Linear-Time Context Compression with State-Space EncodingarXiv:2610.33006v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) impose substantial computation and memory costs as context sizes increase, motivating methods that compress a context into a shorter…arXiv cs.CL · 3 h ago · reads at arXiv cs.CL

This page holds the headline and a short snippet as published by arXiv cs.CL, whose feed they came from. The story itself, the photography and the rights stay with them, and the button above goes straight to their site. We keep this page so the headline has a stable address and a record of when it ran.